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Remote Geology Data Science Jobs in Decatur, GA (NOW HIRING)

Prolego

GenAI Systems Developer

Atlanta, GA · Remote

$185K - $215K/yr

Data Science Mindset: While this is not a data science position, you must demonstrate the ability ... Remote-First Team: Operate from anywhere in the continental U.S., with limited in-person client ...

Deloitte

GCP Manager

Atlanta, GA · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

PrizePicks

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

Partner with Data Science to build scalable logging and data pipelines. You will lead the creation ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Origami Risk LLC

Data Consultant

Atlanta, GA · On-site +1

Bachelor's Degree in Computer Science, Computer Engineering, Data Analytics, or a related field ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

Origami Risk LLC

Data Consultant

Atlanta, GA · On-site +1

Bachelor's Degree in Computer Science, Computer Engineering, Data Analytics, or a related field ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

Origami Risk LLC

Data Consultant

Atlanta, GA · On-site +1

Bachelor's Degree in Computer Science, Computer Engineering, Data Analytics, or a related field ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

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Remote Geology Data Science information

See Decatur, GA salary details

$36.6K

$119.8K

$191.8K

How much do remote geology data science jobs pay per year?

As of May 31, 2026, the average yearly pay for remote geology data science in Decatur, GA is $119,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $132,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Geology Data Scientist, and why are they important?

To thrive as a Remote Geology Data Scientist, you need a solid background in geology, strong analytical skills, and proficiency in data science, typically supported by a degree in geosciences or a related field. Familiarity with programming languages (such as Python or R), GIS software (like ArcGIS or QGIS), and experience with data visualization and machine learning tools are commonly required. Excellent problem-solving abilities, attention to detail, and strong communication skills help convey complex geological insights to diverse stakeholders. These skills are crucial for analyzing large geoscientific datasets remotely, driving data-driven decision-making, and contributing valuable insights to geological projects.

What are some typical challenges faced by remote geology data scientists, and how can they be addressed?

Remote geology data scientists often encounter challenges related to collaborating with field teams, accessing large geospatial datasets, and ensuring data quality from a distance. Effective communication tools and regular virtual meetings help bridge the gap between remote and on-site teams. Utilizing cloud-based platforms for data storage and processing can facilitate access to large datasets, while standardized data collection protocols ensure consistency and accuracy. Building strong relationships with field personnel and staying proactive about potential data issues are key strategies for success in this role.

What is a Remote Geology Data Scientist?

A Remote Geology Data Scientist is a professional who analyzes geological data using advanced data science techniques, often working from a remote location. They apply statistical models, machine learning, and programming skills to extract insights from datasets related to earth sciences, such as mineral exploration, seismic activity, or environmental monitoring. Their work supports decision-making in industries like oil and gas, mining, and environmental consulting. Remote roles leverage digital tools and communication platforms to collaborate with teams and stakeholders from anywhere in the world.
What are popular job titles related to Remote Geology Data Science jobs in Decatur, GA? For Remote Geology Data Science jobs in Decatur, GA, the most frequently searched job titles are:
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What cities near Decatur, GA are hiring for Remote Geology Data Science jobs? Cities near Decatur, GA with the most Remote Geology Data Science job openings:
Remote Geology Data Science jobs near you

Lead Data Platform Engineer (REMOTE)

TRAC Recruiting

Atlanta, GA • Remote

$155K - $165K/yr

Full-time

Posted 2 days ago

Job description

We are seeking a Lead Data Platform Engineer (REMOTE) for a full time and direct hire role for one of our amazing health tech partners in the United States. This role is remote, but you MUST be living in the United States and be willing to work east coast hours. You MUST be a US Citizen for Green Card Holder. This role does NOT offer sponsorship, it's NOT a consulting role, and we do NOT work with 3rd parties!


Overview:

This hands-on Engineer will help architect, build, and maintain modern cloud-based data solutions in a scalable AWS environment. You will contribute to the development of enterprise-grade data platforms, analytics infrastructure, and data processing frameworks that support business intelligence, operational reporting, and product innovation. You will work closely with cross-functional teams to design reliable data pipelines, optimize data workflows, and improve overall platform performance, security, and scalability. This position is ideal for someone who enjoys solving complex data challenges and influencing technical direction across cloud-native systems.


Responsibilities:

  • Design, develop, and support scalable data pipelines and cloud-native data architectures.
  • Build and maintain production-ready applications and data processing frameworks using Python, PySpark, Scala, and related technologies.
  • Partner with engineering and business stakeholders to deliver analytics-ready datasets and reporting capabilities.
  • Contribute to technical architecture decisions, platform improvements, and development best practices.
  • Develop and optimize ETL/ELT workflows and streaming data solutions.
  • Create and manage data models, reporting structures, and analytics dashboards using AWS-native tools.
  • Work with relational and NoSQL databases to support high-volume data processing and storage requirements.
  • Implement cloud infrastructure solutions leveraging AWS services and container orchestration platforms such as Kubernetes or ECS.
  • Collaborate with operations teams on backup, disaster recovery, data retention, and security strategies.
  • Participate in code reviews, technical mentorship, and collaborative problem-solving across the engineering organization.
  • Evaluate and recommend modern technologies and frameworks that improve scalability, efficiency, and reliability.

Requirements:

  • 3+ years of professional experience in software engineering, data engineering, or cloud platform development.
  • Strong experience building and maintaining scalable data platforms and distributed processing systems.
  • Proficiency in Python, PySpark, Scala, and/or Typescript.
  • Hands-on experience developing Spark-based ETL and reporting frameworks using Spark SQL and Spark Streaming.
  • Experience with AWS cloud services, including tools such as S3, Redshift, Glue, Athena, EMR, Lambda, Step Functions, EventBridge, and QuickSight.
  • Knowledge of modern data storage and serialization formats such as Parquet and Iceberg.
  • Experience with relational databases and NoSQL technologies.
  • Strong understanding of cloud security concepts, including IAM, KMS, encryption, Secrets Manager, and data access controls.
  • Ability to independently troubleshoot technical challenges and deliver scalable solutions with minimal oversight.
  • Experience designing cloud-native applications and services in production environments.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent practical experience.


Preferred Experience:

  • Experience building enterprise data lakes, data platforms, or Data-as-a-Service solutions.
  • Familiarity with healthcare systems, healthcare analytics, or healthcare IT environments.
  • Exposure to modern analytics and reporting platforms in large-scale cloud ecosystems.


All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. You must be legally authorized to work in the United States without current or future sponsorship.